infrahub-managing-transforms
Expert guidance for creating Infrahub transforms. Transforms convert Infrahub data into different formats -- JSON, text, CSV, device configs, or any text-based output -- using Python classes or Jinja2 templates.
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---
name: "infrahub-managing-transforms"
description: "Expert guidance for creating Infrahub transforms. Transforms convert Infrahub data into different formats -- JSON, text, CSV, device configs, or any text-based output -- using Python classes or Jinja2 templates."
license: "Apache-2.0"
---
# Infrahub Transform Creator
## Overview
Expert guidance for creating Infrahub transforms.
Transforms convert Infrahub data into different formats
-- JSON, text, CSV, device configs, or any text-based
output -- using Python classes or Jinja2 templates.
## Project Context
Infrahub config:
!`cat .infrahub.yml 2>/dev/null || echo "No .infrahub.yml found"`
Existing transforms:
!`find . -name "*.py" -path "*/transforms/*" -o -name "*.j2" -path "*/templates/*" 2>/dev/null | head -20`
## When to Use
- Building data transformations (Infrahub data -> another format)
- Generating device configurations from infrastructure data
- Creating CSV reports, cable matrices, or inventory exports
- Rendering Jinja2 templates with query data
- Combining Python logic with Jinja2 rendering
- Connecting transforms to artifacts for automated output
## Rule Categories
| Priority | Category | Prefix | Description |
| -------- | --------- | ------------ | ------------------------------------------------------ |
| CRITICAL | Types | `types-` | Python vs Jinja2 choice |
| CRITICAL | Python | `python-` | InfrahubTransform class |
| CRITICAL | Jinja2 | `jinja2-` | Template syntax, filters |
| HIGH | Hybrid | `hybrid-` | Python + Jinja2 combined |
| HIGH | Artifacts | `artifacts-` | Output files, targets |
| HIGH | API Ref | `api-` | Class attrs, methods |
| MEDIUM | Patterns | `patterns-` | Utilities, CSV, shared |
| HIGH | Testing | `testing-` | Resources Testing Framework, transform/render commands |
## Schema Features This Skill Depends On
A transform reads schema-shaped data and produces a
file. Misalignment between the transform and the
schema fails late — at artifact-render time, when
someone is waiting for the output.
| If the transform... | The schema (or .infrahub.yml) must... | See |
| ------------------- | ------------------------------------- | --- |
| Will feed an `artifact_definitions` entry | The target node must `inherit_from: CoreArtifactTarget` so the artifact pipeline can attach to it | [../infrahub-managing-schemas/rules/extension-artifact-target.md](../infrahub-managing-schemas/rules/extension-artifact-target.md) |
| Reads attributes from a node | Define those attributes with their full `__value` access path in GraphQL — silent empty strings come from accessing the node, not the value | [../infrahub-managing-schemas/rules/attribute-defaults-and-types.md](../infrahub-managing-schemas/rules/attribute-defaults-and-types.md) |
| Picks a template per device by platform/role | The schema must expose that platform/role as a real attribute or relationship — string-matching on `display_label` is brittle | [../infrahub-managing-schemas/rules/display-human-friendly-id.md](../infrahub-managing-schemas/rules/display-human-friendly-id.md) |
| Is referenced from `artifact_definitions.transformation` | The transform's registered `name` must match the `transformation:` field exactly — mismatch produces "transformation not found" at render time | [rules/artifacts-definitions.md](./rules/artifacts-definitions.md) |
| Uses Jinja2 (not Python) | Register under `jinja2_transforms` with a top-level `query:` field — `python_transforms` binds query on the class, the two keys are not interchangeable | [rules/api-reference.md](./rules/api-reference.md) |
## Before writing Python
If the transform body is string formatting — f-strings,
concatenation, conditional sections — Jinja2 expresses
the same output in fewer lines, renders directly in
the proposed-change UI, and lives under
`jinja2_transforms` in `.infrahub.yml` instead of
`python_transforms`. Walk this ladder before reaching
for `InfrahubTransform`:
| Signal | Cheaper layer | See rule |
| ------ | ------------- | -------- |
| Transform body is `return f"..."` or `"\n".join([...])` built from query results | Jinja2 template file | [yagni-python-transform-that-could-be-jinja2](../infrahub-auditing-repo/rules/yagni-python-transform-that-could-be-jinja2.md) |
| Transform copies query data verbatim without computation | The GraphQL query alone — no transform needed | Ladder step 1 (drop the requirement); judgment call, no rule |
| Conditionals are `if x: out += ...; else: out += ...` and nothing else | Jinja2 `{% if %}` blocks | [yagni-python-transform-that-could-be-jinja2](../infrahub-auditing-repo/rules/yagni-python-transform-that-could-be-jinja2.md) |
Use Python when the transform parses, computes, or
reshapes — IP/subnet math, hashing, ordered
aggregation, structural JSON re-shaping. See
[rules/python-transform.md](./rules/python-transform.md)
for the legitimate cases.
When the transform reads objects through the SDK, type those calls with
generated protocol classes rather than string kinds — `client.filters(NetworkLink, ...)`,
not `kind="NetworkLink"` — so schema drift fails type-check instead of at
runtime. See
[protocols-adopt-typed-kinds](../infrahub-common/rules/protocols-adopt-typed-kinds.md).
## Transform Basics
Two types of transforms:
| Type | Output | Entry Point |
| ---------- | ----------------- | ------------------------------- |
| **Python** | JSON/dict or text | `InfrahubTransform.transform()` |
| **Jinja2** | Text | `.j2` template file |
```python
from infrahub_sdk.transforms import InfrahubTransform
class MyTransform(InfrahubTransform):
query = "my_query"
async def transform(self, data: dict) -> dict:
device = data["DcimDevice"]["edges"][0]["node"]
return {"hostname": device["name"]["value"]}
```
## Workflow
Follow these steps when creating a transform:
1. **Choose the transform type** — Python for JSON/dict
or complex logic, Jinja2 for text templates, hybrid
for both. Read
[rules/types-overview.md](./rules/types-overview.md).
2. **Write the GraphQL query** — Create a `.gql` file
that fetches the data to transform. Read
[../infrahub-common/graphql-queries.md](../infrahub-common/graphql-queries.md)
for query patterns.
3. **Implement the transform** — For Python, inherit
from `InfrahubTransform` and implement `transform()`.
Read [rules/python-transform.md](./rules/python-transform.md).
For Jinja2, create a `.j2` template. Read
[rules/jinja2-template.md](./rules/jinja2-template.md).
For hybrid, read
[rules/hybrid-python-jinja2.md](./rules/hybrid-python-jinja2.md).
4. **Connect to artifacts** — If the transform output
should be stored as a file, configure artifact
definitions. See
[rules/artifacts-definitions.md](./rules/artifacts-definitions.md).
5. **Register in .infrahub.yml** — Add under
`python_transforms` or `jinja2_transforms`. See
[rules/api-reference.md](./rules/api-reference.md).
6. **Add tests** — Create YAML-driven test definitions
(smoke, unit, integration) alongside the transform so
it is validated automatically in the proposed change
pipeline. Read
[rules/testing-resource-framework.md](./rules/testing-resource-framework.md).
7. **Test locally** — Run `infrahubctl transform` or
`infrahubctl render` to validate. See
[rules/testing-commands.md](./rules/testing-commands.md).
## Supporting References
- **[reference.md](./reference.md)** -- Class API,
lifecycle, return-type matrix, `.infrahub.yml`
registration shapes, filter env overview
- **[examples.md](./examples.md)** -- Complete transform
patterns (Python, Jinja2, hybrid, CSV)
- **[../infrahub-common/graphql-queries.md](../infrahub-common/graphql-queries.md)**
-- GraphQL query writing reference
- **[infrahub-yml-reference.md](../infrahub-common/infrahub-yml-reference.md)**
-- .infrahub.yml project configuration
- **[../infrahub-common/rules/](../infrahub-common/rules/)** -- Shared rules
(git integration, caching) across all skills
- **[../infrahub-common/rules/workflow-information-priority.md](../infrahub-common/rules/workflow-information-priority.md)**
-- Skill content first; how to consult `docs.infrahub.app`
on a genuine gap (e.g. deleting nodes)
- **[../infrahub-managing-schemas/SKILL.md](../infrahub-managing-schemas/SKILL.md)**
-- Schema definitions transforms work with
- **[rules/](./rules/)** -- Individual rules by categoryMore General & Other skills
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